File size: 2,850 Bytes
2b6a339 6db5659 2b6a339 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 | import streamlit as st
import pandas as pd
import plotly.express as px
import plotly.graph_objects as go
import numpy as np
### CONFIG
st.set_page_config(
page_title="E-commerce",
page_icon="💸",
layout="wide"
)
### TITLE AND TEXT
st.title("Sport Heroes")
st.image("https://stillmed.olympic.org/media/Images/OlympicOrg/IOC/The_Organisation/The-Olympic-Rings/Olympic_rings_TM_c_IOC_All_rights_reserved_1.jpg", width=300)
### EXPANDER
st.subheader("Opening French Olympic Games")
with st.expander("⏯️ Watch "):
st.video("https://youtu.be/6ldC6uHxHIc?si=94yBjIq41YakFQ1C")
st.subheader("The Raw Data")
st.markdown("""
All the __Heroes__ are in this Raw Datas 👇
""")
### LOAD AND CACHE DATA
#DATA_URL = ('https://626c476c-2f29-4366-9555-4aac80cfbe8a.filesusr.com/ugd/b8e5dd_44474a984ad54630b33bb9cf6d682259.csv?dn=athlete_events1.csv')
DATA_URL = ('https://ricoheric.github.io/streamlit/athlete_events.csv')
@st.cache_data # this lets the
def load_data(nrows):
data = pd.read_csv(DATA_URL, nrows=nrows)
return data
data_load_state = st.text('Loading data...')
data = load_data(1000)
data_load_state.text("") # change text from "Loading data..." to "" once the the load_data function has run
## Run the below code if the check is checked ✅
if st.checkbox('Show raw data'):
st.subheader('Raw data')
st.write(data)
### SHOW GRAPH STREAMLIT
st.subheader("Medals per Country")
medal_per_country = data.groupby("NOC")["Medal"].describe() # Fix bar chart issue
st.bar_chart(medal_per_country)
### SHOW GRAPH PLOTLY + STREAMLIT
st.subheader("All the Olympic Countries X events")
fig = px.histogram(data, x="Year", color='City', barmode="group")
st.plotly_chart(fig, use_container_width=True)
### SIDEBAR
st.sidebar.header("Build dashboards with Streamlit")
st.sidebar.markdown("""
* [Opening French Olympic Games](#opening-french-olympic-games)
* [Sport Heros Top](#sport-heroes)
* [Medals per Country](#medals-per-country)
* [Input Data](#input-data)
""")
e = st.sidebar.empty()
e.write("")
st.sidebar.write("Made with 💖 by [Jedha](https://jedha.co)")
st.sidebar.image("Leon-Marchand.png")
st.markdown("---")
#### CREATE TWO COLUMNS
@st.cache_data # this lets the
def load_datam():
datam = pd.read_csv(DATA_URL)
return datam
datam = load_datam()
st.markdown("**1️⃣ Example of input widget**")
country = st.selectbox("Select a country you want to see all the medals", datam["NOC"].sort_values().unique())
country_medal = datam[datam["NOC"]==country].groupby('Medal')['Sex'].value_counts().reset_index()
fig = px.bar(country_medal, x='Medal', y='count', color='Sex', barmode='group')
fig.update_layout(bargap=0.2)
st.plotly_chart(fig, use_container_width=True)
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